AUGUST 2022
CELEBRATING 143 YEARS AS CANADA’S PREMIER HORTICULTURAL PUBLICATION
THEGROWER.ORG
THE AGE OF AUTOMATION
Vivid Machines is the apple of an entrepreneurial eye
The art of crop load management in orchards is about to become more automated thanks to Jenny Lemieux, CEO, Vivid Machines. She huddles with Kirk Kemp, owner of Algoma Orchards, Newcastle, Ontario on advancements in sensors and machine learnings that detect and count blossoms and fruitlets in high-density apples. Photos by Eric Forrest.
KAREN DAVIDSON At first skeptical, Kirk Kemp is now a believer that an ATV-mounted camera can count apple fruitlets in an orchard block faster and more accurately than he can. That’s quite an admission for the owner of Algoma Orchards who has several decades of apple harvests under his belt near Newcastle, Ontario. Ongoing 2022 trials are cementing his trust in sensor technology and machine learning models aimed at reducing labour, and chemical and manual thinning costs. With accuracy averaging 80 per cent across all growth stages and improving every month, Kemp says Vivid Machines technology is close to commercial reality. “Crop estimates are emotional,” says Kemp, standing in a high-density block of McIntosh apples. “It’s a balancing act that growers weigh every year at blossom time and then at the fruitlet stage. Anything we can do to be more
PM visits fruit/veg growers Volume 72 Number 08
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precise in estimating bins per acre is helpful in marketing.” Vivid Machines Inc., a start-up company that incorporated in November 2020, is piloting its technology with nine growers that span Ontario as well as Washington and New York states. Its rapid progress, despite COVID obstacles, is being driven by co-founder and CEO Jenny Lemieux, a farm-raised executive with a background in engineering, product design and data science. Lemieux is also a successful graduate of the Entrepreneur First program that matches business trailblazers with like-minded partners to create new tech startups. Entrepreneur First helped her connect with Jonathan Binas, an IT PhD from ETH University in Zurich, Switzerland. Binas has worked in neuroscience, electronics and was a postdoc at MILA, one of the world’s leading machine learning research institutes in Montreal. That’s where he worked on artificial intelligence, before leaving to become
the chief technology officer for Vivid Machines. Resumés like those of Jenny Lemieux and Jonathan Binas may not be typical of people working in agriculture today, but they represent a new generation of innovators bringing solutions to fruit and vegetable growers. “Every orchard is unique,” says Lemieux, at ease driving an ATV. “Nothing is heterogeneous and this is an environment where it’s hard to use technology in terms of connectivity and repeatability.” She goes on to rhyme off all the hurdles that growers know so well: lighting, row widths, fruit varieties, tree widths. “Our passion is to solve these really interesting technical problems to help growers,” says Lemieux. “We have built a multi-spectral sensor that can see normal red-green-blue into the near infrared system.”
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